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Excel · dataset · 2024

Metadata and Analysis of Clinical Information Extraction Publications Using Large Language Models

Listed in INESC TEC Research Data Repository

Description

This dataset contains all the data collected on all the papers analyzed in our publication, entitled "Harnessing Large Language Models for Clinical Information Extraction: A Systematic Literature Review", which is a systematic literature review of 85 publications on Clinical Information Extraction using LLMs, from 2019 to 2023. It includes metadata on every paper and explains our selection process, and how we got to the 85 papers.

It also includes detailed information on each of the included papers.

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Catalogue records · 1

Topics

Stated by source
CS: Computer Science
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
INESC TEC Research Data Repositoryccf44a5b-c0d7-40f0-ab48-968a2172a9f06 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].local:field:computer-science-aimapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].local:field:engineeringmapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].local:field:humanitiesmapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[field].local:field:medicine-healthmapping · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
concepts[topic].ckan_group:rdm_inesctec_pt:cs-computer-sciencesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
created_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
descriptionsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0/notes
license_textsource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
publication_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0
titlesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0/title
updated_datesource · rdm inesctec ptconnector:rdm_inesctec_pt@1.0.0